Abstract: A computing system on an aircraft that is configured to perform operations including receiving historical data. The operations also include training a model using the historical data to produce a trained model. The operations also include receiving current pre-landing data for a current aircraft that is to land on a runway. The operations also include determining, during a time period before landing, a feasibility of a plurality of taxi exits on the runway based at least partially upon the trained model and the current pre-landing data. The operations also include selecting one of the taxi exits based at least partially upon the feasibility.

Abstract: Disclosed is a controller for controlling brake action of an aircraft based on a current runway condition of the runway. The controller receives an expected condition of the runway and expected brake action for the aircraft from air traffic control, or other entity. The controller sends actual measured brake pressure applied by the aircraft while landing, along with sensor data from sensors on the aircraft configured to detect contaminants such as fluid or ice on the runway to a machine learning model. The machine learning model is configured to output a predicted brake action for the aircraft and predicted runway condition. The controller compares the expected brake action and expected runway condition to the predicted brake action and predicted runway condition. If there is any discrepancy, the controller sends the predicted brake action and runway condition to air traffic control to update the expected brake action and expected runway condition.

Abstract: A system for aircraft congestion reduction on a ground at an airport includes a database, a computer, and a transmitter. The database is operational to store collected data gathered over at least a year at the airport. The computer is in communication with the database and is operational to train a machine learning model using the collected data, receive input data approximate a current time, and generate at the current time, based on the input data, the machine learning model, and a plurality of current aircraft, an estimated taxi time for a particular aircraft to move between an assigned gate and an assigned runway via an assigned route along the taxiways. The transmitter is in communication with the computer and is operational to transfer the estimated taxi time to the particular aircraft and a control center.